Intermediate view reconstruction is an essential step in content preparation for multiview 3D displays and freeviewpoint
video. Although many approaches to view reconstruction have been proposed to date, most of them share the need to model and estimate scene depth first, and follow with the estimation of unknown-view texture using this depth and other views. The approach we present in this paper follows this path as well. First, assuming
a reliable disparity (depth) map is known between two views, we present a spline-based approach to unknownview
texture estimation, and compare its performance with standard disparity-compensated interpolation. A distinguishing feature of the spline-based reconstruction is that all virtual views between the two known views can be reconstructed from a single disparity field, unlike in disparity-compensated interpolation. In the second part
of the paper, we concentrate on the recovery of reliable disparities especially at object boundaries. We outline
an occlusion-aware disparity estimation method that we recently proposed; it jointly computes disparities in
visible areas, inpaints disparities in occluded areas and implicitly detects occlusion areas. We then show how
to combine occlusion-aware disparity estimation with spline-based view reconstruction presented earlier, and we
experimentally demonstrate its benefits compared to occlusion-unaware disparity-compensated interpolation.